Performance of Cox regression models for composite time-to-event endpoints with component-wise censoring in randomized trials.

Jaime Lynn SpeiserWalter T AmbrosiusNicholas M Pajewski

Published in: Clinical trials (London, England) (2023)

Cox regression is a suitable method for analysis of clinical trial data with composite time-to-event endpoints subject to different component-wise censoring mechanisms.

Keyphrases

clinical trial
electronic health record
big data
randomized controlled trial
open label
phase ii
double blind
artificial intelligence
finite element